Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes. (3rd June 2021)

• Record Type: Journal Article
• Authors: Rauchmann, Boris-Stephan; Ersoezlue, Ersin; Stoecklein, Sophia; Keeser, Daniel; Brosseron, Frederic; Buerger, Katharina; Dechent, Peter; Dobisch, Laura; Ertl-Wagner, Birgit; Fliessbach, Klaus; Haynes, John Dylan; Heneka, Michael T; Incesoy, Enise I; Janowitz, Daniel; Kilimann, Ingo; Laske, Christoph; Metzger, Coraline D; Munk, Matthias H; Peters, Oliver; Priller, Josef; Ramirez, Alfredo; Roeske, Sandra; Roy, Nina; Scheffler, Klaus; Schneider, Anja; Spottke, Annika; Spruth, Eike Jakob; Teipel, Stefan; Tscheuschler, Maike; Vukovich, Ruth; Wagner, Michael; Wiltfang, Jens; Yakupov, Renat; Duezel, Emrah; Jessen, Frank; Perneczky, Robert;
• Is Part Of: Cerebral cortex. Volume 31:Number 11(2021)
• Page Start: 4901
• Page End: 4915
• Publication Date: 2021-06-03
• Subjects: Alzheimer's disease -- brain structure -- graph theory -- independent component analysis -- resting-state connectivity; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhab130
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: Several Alzheimer's disease (AD) atrophy subtypes were identified, but their brain network properties are unclear. We analyzed data from two independent datasets, including 166 participants (103 AD/63 controls) from the DZNE-longitudinal cognitive impairment and dementia study and 151 participants (121 AD/30 controls) from the AD neuroimaging initiative cohorts, aiming to identify differences between AD atrophy subtypes in resting-state functional magnetic resonance imaging intra-network connectivity (INC) and global and nodal network properties. Using a data-driven clustering approach, we identified four AD atrophy subtypes with differences in functional connectivity, accompanied by clinical and biomarker alterations, including a medio-temporal-predominant (S-MT), a limbic-predominant (S-L), a diffuse (S-D), and a mild-atrophy (S-MA) subtype. S-MT and S-D showed INC reduction in the default mode, dorsal attention, visual and limbic network, and a pronounced reduction of "global efficiency" and decrease of the "clustering coefficient" in parietal and temporal lobes. Despite severe atrophy in limbic areas, the S-L exhibited only marginal global network but substantial nodal network failure. S-MA, in contrast, showed limited impairment in clinical and cognitive scores but pronounced global network failure. Our results contribute toward a better understanding of heterogeneity in AD with the detection of distinct differences in functional connectivity networks accompanied by CSF biomarker and cognitive differences in AD subtypes.